Anurag Ranjan
Computer Vision and Pattern Recognition · 2016–2023
A researcher in the Science corpus: 8 papers; trusts 1,095 researchers and is trusted by 576 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 310 citations into it; #1,776 of 21,575 by trust here, #5,082 by citations
- Artificial Intelligence — 95 citations into it
- Computational Mechanics — 63 citations into it
- Model Architectures — 50 citations into it
- 3D Vision & Pose — 28 citations into it; #369 of 689 by trust here, #462 by citations
- Evaluation & Benchmarks — 28 citations into it
- Computer Graphics and Computer-Aided Design — 24 citations into it
- Optimization & Training — 24 citations into it
Whom Anurag Ranjan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Diederik P. Kingma
- Yann LeCun
- Yoshua Bengio
- Karen Simonyan
- Ross B. Girshick
- Ilya Sutskever
- Andrew Zisserman
Who trusts Anurag Ranjan overall
- Simon Niklaus
- Kelvin C. K. Chan
- Feng Liu
- Pengpeng Liu
- Wenbo Bao
- Junhwa Hur
- Xintao Wang
- X. Wang
- Jiajun Wu
- Xiaodan Liang
Papers from Anurag Ranjan's perspective
Ordered by how strongly the researchers Anurag Ranjan trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Optical Flow Estimation Using a Spatial Pyramid Network (2016) — 1,419 citations
- Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation (2018) — 640 citations
- Learning to Dress 3D People in Generative Clothing (2019) — 419 citations
- FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization (2023) — 384 citations
- NeuMan: Neural Human Radiance Field from a Single Video (2022) — 332 citations
- MobileOne: An Improved One millisecond Mobile Backbone (2022) — 336 citations
- Capture, Learning, and Synthesis of 3D Speaking Styles (2019) — 451 citations
- Generating 3D faces using Convolutional Mesh Autoencoders (2018) — 644 citations